Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity
The form of communication on Facebook is not only limited to posting and commenting, but also includes sharing, liking and reacting. This study looks into how a Facebook diabetes community uses like, comment, share and reaction in expressing themselves online and how these distinctions can be used t...
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| Format: | Article |
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Elsevier
2019
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| _version_ | 1796961974687367168 |
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| author | Kaur, Wandeep Balakrishnan, Vimala Rana, Omer Sinniah, Ajantha |
| author_facet | Kaur, Wandeep Balakrishnan, Vimala Rana, Omer Sinniah, Ajantha |
| author_sort | Kaur, Wandeep |
| collection | UM |
| description | The form of communication on Facebook is not only limited to posting and commenting, but also includes sharing, liking and reacting. This study looks into how a Facebook diabetes community uses like, comment, share and reaction in expressing themselves online and how these distinctions can be used to improve sentiment classification from text extracted from the said group. An intensity formula using those behaviors was proposed and experimentations conducted using Weka. The findings reveal a model encompassing user behaviors is able to determine sentiment more accurately compared to one without, with a 94.6 percentage of accuracy. Additional analyses reveal behaviors such as liking, commenting and sharing to contribute more to the sentiment classification compared to reacting. This further cement the need to include such behavioral aspects into sentiment polarity calculation, as it would help algorithms achieve better predictability when classifying sentiment. © 2018 Elsevier Ltd |
| first_indexed | 2024-03-06T06:02:07Z |
| format | Article |
| id | um.eprints-24210 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T06:02:07Z |
| publishDate | 2019 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-242102020-04-17T03:55:59Z http://eprints.um.edu.my/24210/ Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity Kaur, Wandeep Balakrishnan, Vimala Rana, Omer Sinniah, Ajantha QA75 Electronic computers. Computer science The form of communication on Facebook is not only limited to posting and commenting, but also includes sharing, liking and reacting. This study looks into how a Facebook diabetes community uses like, comment, share and reaction in expressing themselves online and how these distinctions can be used to improve sentiment classification from text extracted from the said group. An intensity formula using those behaviors was proposed and experimentations conducted using Weka. The findings reveal a model encompassing user behaviors is able to determine sentiment more accurately compared to one without, with a 94.6 percentage of accuracy. Additional analyses reveal behaviors such as liking, commenting and sharing to contribute more to the sentiment classification compared to reacting. This further cement the need to include such behavioral aspects into sentiment polarity calculation, as it would help algorithms achieve better predictability when classifying sentiment. © 2018 Elsevier Ltd Elsevier 2019 Article PeerReviewed Kaur, Wandeep and Balakrishnan, Vimala and Rana, Omer and Sinniah, Ajantha (2019) Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity. Telematics and Informatics, 39. pp. 25-36. ISSN 0736-5853, DOI https://doi.org/10.1016/j.tele.2018.12.005 <https://doi.org/10.1016/j.tele.2018.12.005>. https://doi.org/10.1016/j.tele.2018.12.005 doi:10.1016/j.tele.2018.12.005 |
| spellingShingle | QA75 Electronic computers. Computer science Kaur, Wandeep Balakrishnan, Vimala Rana, Omer Sinniah, Ajantha Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity |
| title | Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity |
| title_full | Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity |
| title_fullStr | Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity |
| title_full_unstemmed | Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity |
| title_short | Liking, sharing, commenting and reacting on Facebook: User behaviors’ impact on sentiment intensity |
| title_sort | liking sharing commenting and reacting on facebook user behaviors impact on sentiment intensity |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT kaurwandeep likingsharingcommentingandreactingonfacebookuserbehaviorsimpactonsentimentintensity AT balakrishnanvimala likingsharingcommentingandreactingonfacebookuserbehaviorsimpactonsentimentintensity AT ranaomer likingsharingcommentingandreactingonfacebookuserbehaviorsimpactonsentimentintensity AT sinniahajantha likingsharingcommentingandreactingonfacebookuserbehaviorsimpactonsentimentintensity |